Architect (ATC)

GenAI Solution Architect

Responsibilities:

• Design comprehensive architectures for GenAI applications utilizing Azure OpenAI LLM.
• Integrate RAG systems to enhance AI applications with contextually relevant data retrieval capabilities.
• Ensure solutions are scalable, cost-effective, and aligned with business objectives.
• Oversee the development and deployment of GenAI solutions on Azure.
• Coordinate with cross-functional teams including developers, client technical and business teams.
• Work closely with stakeholders to define technical requirements and business goals.
• Present complex technical information in a clear and concise manner to non-technical stakeholders.

Requirements:

• 10+ years experience with 5+ years of experience in AI and machine learning, with a strong focus on solution architecture.
• Should have hands-on experience in deploying at least one end to end GenAI project.
• Proven experience with Azure OpenAI LLMs and its application in enterprise environments.
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems.
• Expertise in Azure cloud services and architecture.
• Strong programming skills in Python and familiarity with AI development tools and libraries.
• Knowledge of AI model training, fine-tuning, and deployment processes.
• Excellent problem-solving and analytical skills.
• Strong leadership and project management abilities.
• Effective communication and interpersonal skills.